Tonicity drives maturation of the collecting ducts in the mammalian kidney
RNA-seq (gene expression) · mouse · 16 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 13 distinct titles, 2 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE275292_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1150209 and SRA study SRP527594. Searching any of these in the dataset finder brings you back here.
How we read this: Read from the first 15 of 16 sample titles: 13 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9083167 mCD_Control
- GSM9083168 mCD_Osm
- GSM9083169 mouse 750 VA
- GSM9083170 mCD_WT
- GSM9083171 mCD_Nfat5_KO
- GSM9083172 MEK E15.5
- GSM9083173 MK P0
- GSM9083174 MK P7
- GSM9083175 mES_iNP
- GSM9083176 mES_diSP
- GSM9083177 human iPS VA
- GSM9083178 human iPS VA FSK OSM
- GSM9083180 human 31 years old female
- GSM9444284 P7_medulla_1
- GSM9444285 P7_medulla_2
+ 1 more — browse all 16 samples with per-sample file links →
- GSE284313 Transfer RNA acetylation regulates in vivo mammalian stress signaling 30 samples shares mammalian
- GSE268901 Heterochromatin Protein ERH represses alternative cell fates during early mammalian differentiation [RNA-Seq] 27 samples shares mammalian
- GSE305217 Optimized ChIP-exo for mammalian cells and patterned sequencing flow cells 133 samples shares mammalian
- GSE233846 Two microbiome metabolites compete for tRNA modification and mammalian cell proliferation 72 samples shares mammalian
- GSE172296 A myeloid maturation program initiated by nucleotide depletion during S phase [Cut & Run] 47 samples shares maturation
- GSE63655 Chemical Pull-Down Reveals Comprehensive and Dynamic Pseudouridylation in Mammalian Transcriptome 34 samples shares mammalian
- GSE238001 Concurrent profiling of multiscale 3D genome organization and gene expression in single mammalian cells 18 samples shares mammalian
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.